Last Updated on 3 days by School4Seo Team
Create helpful boundaries for the system to work within, by setting a thoughtful bid and budget, Provide the system with ample, meaningful data and the time to process it and Keep an eye on strategy and objectives, evolving them over time as needed. These are three things Betty can do to guide the campaign.
- Make adjustments to the campaign in reaction to hourly fluctuations in performance.
- Build a library of different ad assets, with the intention swapping them entirely on a weekly basis.
- Create helpful boundaries for the system to work within, by setting a thoughtful bid and budget.
- Provide the system with ample, meaningful data and the time to process it.
- Keep an eye on strategy and objectives, evolving them over time as needed.
The correct answers are: Create helpful boundaries for the system to work within, by setting a thoughtful bid and budget, Provide the system with ample, meaningful data and the time to process it and Keep an eye on strategy and objectives, evolving them over time as needed.
Explanation: Even with machine learning, Betty’s strategic involvement is vital for her Google App campaign’s success:
Keep an eye on strategy and objectives, evolving them over time as needed: Business goals can change. Betty’s human insight allows her to adapt the campaign’s direction (e.g., from installs to in-app purchases) over time, a strategic shift that machine learning cannot initiate independently.
Create helpful boundaries for the system to work within, by setting a thoughtful bid and budget: Betty defines the campaign’s cost efficiency and spending limits. The machine learns within these parameters, so thoughtful setup is crucial for optimal results.
Provide the system with ample, meaningful data and the time to process it: High-quality conversion tracking and sufficient conversion volume are essential. Betty ensures the machine has the right data to learn from, and the patience to let it learn.
Help machine learning improve your App campaign by setting clear and thoughtful boundaries and giving it enough data to work towards your campaign goal. Once you’ve set the bid and budget for your App campaign, make sure you give the machine learning system the two things it needs the most Data and Time to learn from that data. Machine learning automates many of the tasks involved in running an App campaign, but remember, you can’t just “set it and forget it.” The strategy behind your App campaigns will likely shift over time, and your job as a marketer is to set the boundaries accordingly.